Lead AI Engineer

Job Description: Lead Engineer AI

Role Overview

• Hands-on engineering role focused on building AI-enabled enterprise features
• Work with LLMs, orchestration frameworks, and microservices architecture
• Deliver production-grade AI solutions integrated into enterprise systems.

Key Responsibilities

• Build AI-powered features such as automation and intelligent recommendations
• Develop natural language interfaces for enterprise workflows
• Integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic)
• Design orchestration workflows using LangChain, LangGraph, Spring AI
• Implement RAG pipelines with vector databases (PGVector, Pinecone, Weaviate, FAISS)
• Develop microservices using Java, Spring Boot
• Work with SQL databases (PostgreSQL, MySQL)
• Implement event-driven systems using Kafka
• Enable observability using OpenTelemetry
• Ensure cost optimization, guardrails, and performance tuning.

Required Skills

• Strong Java, Spring Boot, Microservices expertise
• Working knowledge of Python (AI ecosystem)
• Experience with LLM integration and prompt engineering
• Hands-on with RAG pipelines and vector databases
• SQL expertise (PostgreSQL, MySQL)
• Kafka and event-driven architecture
• AWS, Docker, Kubernetes basics
• Monitoring using Open Telemetry.

Experience

• 9 -14 years of software engineering experience
• Minimum 2+ years in applied AI / LLM systems